Ferguson Enterprises (FERG) Cash & Equivalents (2023 - 2026)
Ferguson Enterprises' Cash & Equivalents was $820 million in Q3 2026.
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Analysis
Ferguson Enterprises (FERG) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Ferguson Enterprises came in at $674 million, up 18.0% from FY2024.
- Cash & Equivalents shows a three-year compound annual growth rate of -4.4% (FY2022 to FY2025).
- In earlier years, Cash & Equivalents was $571 million in FY2024 (-5.0%), $601 million in FY2023 (-22.0%) and $771 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 112.00 Mn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | 589.00 Mn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 204.70 Mn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 820.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 32.00 Mn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | 235.40 Mn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 808.90 Mn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | 364.19 Mn |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn | 306.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 820.00 Mn |
| Oct 31, 2025 | 526.00 Mn |
| Jul 31, 2025 | 674.00 Mn |
| Jan 31, 2025 | 764.00 Mn |
| Oct 31, 2024 | 601.00 Mn |
| Jul 31, 2024 | 571.00 Mn |
| Jul 31, 2023 | 601.00 Mn |
API Access
Ferguson Enterprises Cash & Equivalents API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FERG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();